CHRISX5X

CHRISX5X's Stars

• FlyingFathead/dvr-yolov8-detection

  Python+YOLOv8-based human/animal/object detection DVR framework with GUI, webUI and Telegram alerts

  Language:Python81

• Muhammad-Yunus/cctv_yolo_opencvdnn_telegram

  Language:Python51

• beomwon/CCTV_Abnormal_Behavior_Detection_Service

  use yolo v7, flask, telegram

  Language:Jupyter Notebook43

• Fireboltz/Psychic-CCTV

  A video analysis tool built completely in python.

  Language:Python5113

• anshsinghal2002/csro

  An augmented reality based robot first person shooter utilising a ROS based messaging architecture. HUD implementation, OpenCV based hit detection, joystick control, unique game-modes and weapon classes.

  Language:Python3

• cvar-upm/cvg_ardrone2_ibvs

  Vision based control for object following in UAVs

  Language:Shell8746

• sarthak268/Target-Tracking-Simulator

  Urban Environment Simulator Code for Testing your Target Tracking Algorithms.

  Language:Python368

• afrl-rq/OpenAMASE

  Project for simulating multi-UAV missions

  Language:Java6944

• robin-shaun/XTDrone

  UAV Simulation Platform based on PX4, ROS and Gazebo

  Language:C++1.2k211

• ctu-mrs/mrs_uav_system

  The entry point to the MRS UAV system.

  Language:Shell45389

• AnshulSood11/PPE-Detection-YOLO-Deep_SORT

  Real-time PPE detection and tracking using YOLO v3 and deep_sort

  Language:Python11131

• wangwei39120157028/UAVS

  Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify the output. The data can be imported into the real UAV to make it accurately arrive at any position in the battlefield according to the specified route and support the joint action of multi-person and multi-device formation.

  Language:JavaScript49998

• ethz-asl/rotors_simulator

  RotorS is a UAV gazebo simulator

  Language:C++1.3k769

• LZBUAV/AutoUAV

  ROS中集成各类无人机应用，并全部工程部署至Nvidia Xavier NX2，算法包括：Yolo系列和NanoDet目标检测、KCF和ECO-HC目标跟踪、基于直方图的图像匹配、3D固态面阵激光雷达避障，以及完整的和Ardupilot飞控进行通信的实现。

  Language:C141

• genpranav/Yolov3-Object-Detection-from-Drone-feed

  This project aims to implement real-time object detection from drone feed using YOLOv3 (You Only Look Once version 3) deep learning architecture. This project was implemented using tools and frameworks such as ROS, Gazebo, Ardupilot and MavROS

  4

• hayashilab/drone_sim

  Language:Python4

• UAVs-at-Berkeley/suas_2022

  Language:Python31

• TrifiAmanallah/Ground-station-and-simulator-for-Unmanned-aerial-vehicle

  This a ground station to controle and analyse Real time data from an unmanned aerial vehicle. It also contains a simulator and a PID algorithm tester.

  Language:Matlab3415

• hmakelin/gisnav

  Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.

  Language:Python5422

• monemati/PX4-ROS2-Gazebo-YOLOv8

  Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

  Language:Python13020

• nikulram/Advanced-Autonomous-Drone-Navigation-System

  An advanced autonomous drone navigation system using complex technologies in computer vision and AI for real-time obstacle detection, environmental interaction, and adaptive flight path management. Designed for enhanced security and efficient navigation.

  Language:Python94

• under0tech/autopilot_bee_sim

  Autopilot "BEE" with target following for FPV Combat Drone (Simulator version)

  Language:Python2111

• streamlit/demo-self-driving

  Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

  Language:Python1.2k450

• Chowdhurynaseeh/Live_CCTV_Using_Deep_Learning_for_object_detection

  The Live CCTV Using Deep Learning for Object Detection project implements an intelligent surveillance system that utilizes deep learning techniques to detect and identify objects and motion in real-time. By integrating object detection and face recognition, this system effectively monitors entry and exit activities, tracks suspicious behaviors.

  Language:Python1

• SahilChachra/Video-Analytics-Dashboard

  Video Analytics dashboard built using YoloV5 and Streamlit

  Language:Python8631

• shashankag14/similar-images-remover

  A Python tool to identify and remove similar-looking images from a dataset. Utilizes image preprocessing and hashing techniques for efficient comparison.

  Language:Python111

• frigate-nvr/image-annotator

  An opinionated image annotation component designed for Frigate+

  Language:TypeScript5

• Paperspace/ml-in-a-box

  Machine learning tool-set for Paperspace VMs

  Language:Shell5626

• blakeblackshear/frigate

  NVR with realtime local object detection for IP cameras

  Language:TypeScript19.8k1.8k

• 8ff/firescrew

  Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!

  Language:Go15312